نتایج جستجو برای: analytical learning

تعداد نتایج: 764240  

Asma Tab , Halimeh Aramideh , Khadijeh Ahmadzadeh , Kobra Jokar , Mohsen Azad , Nader Alishan Karami , Shima Mollaei ,

Introduction: To get updated, nurses need to attend in-service training courses. E-learning is a promising solution for providing courses to busy nurses in teaching hospitals. This study aims to evaluate the readiness of teaching hospitals for e-learning implementation specialized for nurses' in-service trainings. Methods: This descriptive-analytical survey was carried out in Bandar Abbas (Ira...

Journal: :Journal of Education and Learning (EduLearn) 2018

Journal: :International Journal of Computer Science and Information Technology 2019

Journal: :IEEE Communications Magazine 2022

The energy consumption of the fifth generation(5G) mobile networks is one major concerns telecom industry. However, there not currently an accurate and tractable approach to evaluate 5G base stations (BSs) power consumption. In this article, we propose a novel model for realistic characterisation multi-carrier BSs, which builds on large data collection campaign. At first, define machine learnin...

Journal: :IEEE Transactions on Sustainable Energy 2022

This paper proposes a novel analytical solution framework for power flow (PF) solutions in active distribution networks under uncertainty. We use the Gaussian process (GP) regression to learn node voltage as function of effective bus load or negative net-injection vector. The proposed approximation is valid over subspace and provides an understanding system behavior uncertainty via GP interpret...

2004
Wen-Cong Lu Nian-Yi Chen Guo-Zheng Li Jie Yang

In the machine learning field, feature selection is used to discard the redundant information and improve the learning accuracy. In this paper, the redundant information is reused in the learning of partial least squares method within the frame of multitask learning. This newly proposed method is used to solve the multivariate calibration problem, a classic problem in the analytical chemistry f...

Journal: :Physical review. E, Statistical, nonlinear, and soft matter physics 2003
Peixun Luo K Y Michael Wong

The dynamical and stationary properties of on-line learning from finite training sets are analyzed by using the cavity method. For large input dimensions, we derive equations for the macroscopic parameters, namely, the student-teacher correlation, the student-student autocorrelation and the learning force fluctuation. This enables us to provide analytical solutions to Adaline learning as a benc...

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